Program Per-Year Tuition ($) 62,317 68,899 67,849 69,131 65,171 67,464 67,307 69,005 64,177 61,954 65,216 62,479 62,156 58,187 54,764 55,487 54,588 53,115 52,642 51,360 46,229 46,901 49,627 45,404...


Program Per-Year<br>Tuition ($)<br>62,317<br>68,899<br>67,849<br>69,131<br>65,171<br>67,464<br>67,307<br>69,005<br>64,177<br>61,954<br>65,216<br>62,479<br>62,156<br>58,187<br>54,764<br>55,487<br>54,588<br>53,115<br>52,642<br>51,360<br>46,229<br>46,901<br>49,627<br>45,404<br>37,176<br>Mean Starting Salary<br>Upon Graduation (S)<br>155,400<br>155,252<br>149,235<br>141,665<br>141,683<br>156,258<br>149,116<br>148,084<br>135,084<br>144,022<br>145,240<br>148,899<br>140,005<br>138,667<br>122,987<br>117,718<br>127,732<br>126,874<br>129,398<br>122,286<br>113,115<br>110,103<br>113,390<br>108,060<br>82,894<br>80,740<br>103,763<br>77,773<br>84,334<br>73,607<br>77,091<br>46,332<br>48,271<br>49,761<br>39,070<br>32,880<br>44,753<br>41,836<br>49,834<br>33,917<br>21,788<br>40,865<br>38,308<br>49,682<br>64,902<br>103,713<br>56,026<br>79,606<br>56,550<br>

Extracted text: Program Per-Year Tuition ($) 62,317 68,899 67,849 69,131 65,171 67,464 67,307 69,005 64,177 61,954 65,216 62,479 62,156 58,187 54,764 55,487 54,588 53,115 52,642 51,360 46,229 46,901 49,627 45,404 37,176 Mean Starting Salary Upon Graduation (S) 155,400 155,252 149,235 141,665 141,683 156,258 149,116 148,084 135,084 144,022 145,240 148,899 140,005 138,667 122,987 117,718 127,732 126,874 129,398 122,286 113,115 110,103 113,390 108,060 82,894 80,740 103,763 77,773 84,334 73,607 77,091 46,332 48,271 49,761 39,070 32,880 44,753 41,836 49,834 33,917 21,788 40,865 38,308 49,682 64,902 103,713 56,026 79,606 56,550
A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying<br>table. The least-squares regression equation for these data is Y; = - 9,946.935 +2.363X; and the standard error of the estimate is Syx = 15,951.444. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below.<br>E Click the icon to view the data on program per-year tuition and mean starting salary.<br>a. At the 0.10 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition?<br>Determine the hypotheses for the test.<br>Ho:<br>H1:<br>(Type integers or decimals. Do not round.)<br>Compute the test statistic.<br>The test statistic is tsTAT =<br>(Round to two decimal places as needed.)<br>Find the p-value.<br>The p-value is<br>(Round to three decimal places as needed.)<br>Reach a decision.<br>Ho- There is<br>evidence to conclude that there is a linear relationship between the starting salary upon graduation and program per-year tuition.<br>b. Construct a 90% confidence interval estimate of the population slope, B1.<br>The confidence interval issB, s<br>(Round to three decimal places as needed.)<br>

Extracted text: A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. The least-squares regression equation for these data is Y; = - 9,946.935 +2.363X; and the standard error of the estimate is Syx = 15,951.444. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (b) below. E Click the icon to view the data on program per-year tuition and mean starting salary. a. At the 0.10 level of significance, is there evidence of a linear relationship between the starting salary upon graduation and program per-year tuition? Determine the hypotheses for the test. Ho: H1: (Type integers or decimals. Do not round.) Compute the test statistic. The test statistic is tsTAT = (Round to two decimal places as needed.) Find the p-value. The p-value is (Round to three decimal places as needed.) Reach a decision. Ho- There is evidence to conclude that there is a linear relationship between the starting salary upon graduation and program per-year tuition. b. Construct a 90% confidence interval estimate of the population slope, B1. The confidence interval issB, s (Round to three decimal places as needed.)
Jun 02, 2022
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